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We determined the intersubject association between the rhythmic entrainment abilities of human subjects during a synchronization-continuation tapping task (SCT) and the macro- and microstructural properties of their superficial (SWM) and deep (DWM) white matter. Diffusion-weighted images were obtained from 32 subjects who performed the SCT with auditory or visual metronomes and five tempos ranging from 550 to 950 ms. We developed a method to determine the density of short-range fibers that run underneath the cortical mantle, interconnecting nearby cortical regions (U-fibers). Notably, individual differences in the density of U-fibers in the right audiomotor system were correlated with the degree of phase accuracy between the stimuli and taps across subjects. These correlations were specific to the synchronization epoch with auditory metronomes and tempos around 1.5 Hz. In addition, a significant association was found between phase accuracy and the density and bundle diameter of the corpus callosum (CC), forming an interval-selective map where short and long intervals were behaviorally correlated with the anterior and posterior portions of the CC. These findings suggest that the structural properties of the SWM and DWM in the audiomotor system support the tapping synchronization abilities of subjects, as cortical U-fiber density is linked to the preferred tapping tempo and the bundle properties of the CC define an interval-selective topography.
Subject(s)
White Matter , Humans , White Matter/physiology , White Matter/diagnostic imaging , White Matter/anatomy & histology , Male , Female , Adult , Young Adult , Diffusion Magnetic Resonance Imaging , Corpus Callosum/physiology , Corpus Callosum/diagnostic imaging , Corpus Callosum/anatomy & histology , Psychomotor Performance/physiologyABSTRACT
INTRODUCTION: Parkinson's disease (PD) is a neurodegenerative disorder characterized by dopaminergic neurons' degeneration of the substantia nigra, presenting with motor and non-motor symptoms. We hypothesized that altered diffusion metrics are associated with clinical symptoms in de novo PD patients. METHODS: Fractional Anisotropy (FA) and Mean (MD), Axial (AD), and Radial Diffusivity (RD) were assessed in 55 de novo PD patients (58.62 ± 9.85 years, 37 men) and 55 age-matched healthy controls (59.92 ± 11.25 years, 34 men). Diffusion-weighted images and clinical variables were collected from the Parkinson's Progression Markers Initiative study. Tract-based spatial statistics were used to identify white matter (WM) changes, and fiber tracts were localized using the JHU-WM tractography atlas. Motor and non-motor symptoms were evaluated in patients. RESULTS: We observed higher FA values and lower RD values in patients than controls in various fiber tracts (p-TFCE < 0.05). No significant MD or AD difference was observed between groups. Diffusion metrics of several regions significantly correlated with non-motor (state and trait anxiety and daytime sleepiness) and axial motor symptoms in the de novo PD group. No correlations were observed between diffusion metrics and other clinical symptoms evaluated. CONCLUSION: Our findings suggest microstructural changes in de novo PD fiber tracts; however, limited associations with clinical symptoms reveal the complexity of PD pathology. They may contribute to understanding the neurobiological changes underlying PD and have implications for developing targeted interventions. However, further longitudinal research with larger cohorts and consideration of confounding factors are necessary to elucidate the underlying mechanisms of these diffusion alterations in de novo PD.
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BACKGROUND: Multiple sclerosis (MS) is an irreversible progressive CNS pathology characterized by the loss of myelin (i.e. demyelination). The lack of myelin is followed by a progressive neurodegeneration triggering symptoms as diverse as fatigue, motor, locomotor and sensory impairments and/or bladder, cardiac and respiratory dysfunction. Even though there are more than fourteen approved treatments for reducing MS progression, there are still no cure for the disease. Thus, MS research is a very active field and therefore we count with different experimental animal models for studying mechanisms of demyelination and myelin repair, however, we still lack a preclinical MS model assembling demyelination mechanisms with relevant clinical-like signs. RESULTS: Here, by inducing the simultaneous demyelination of both callosal and cerebellar white matter fibers by the double-site injection of lysolecithin (LPC), we were able to reproduce CNS demyelination, astrocyte recruitment and increases levels of proinflammatory cytokines levels along with motor, locomotor and urinary impairment, as well as cardiac and respiratory dysfunction, in the same animal model. Single site LPC-injections either in corpus callosum or cerebellum only, fails in to reproduce such a complete range of MS-like signs. CONCLUSION: We here report that the double-site LPC injections treatment evoke a complex MS-like mice model. We hope that this experimental approach will help to deepen our knowledge about the mechanisms of demyelinated diseases such as MS.
Subject(s)
Cerebellum , Corpus Callosum , Demyelinating Diseases , Disease Models, Animal , Mice, Inbred C57BL , Multiple Sclerosis , Animals , Multiple Sclerosis/pathology , Corpus Callosum/pathology , Cerebellum/pathology , Demyelinating Diseases/pathology , Demyelinating Diseases/chemically induced , Mice , Male , Lysophosphatidylcholines , Cytokines/metabolism , Myelin Sheath/pathologyABSTRACT
The white matter is an important constituent of the central nervous system, containing axons, oligodendrocytes, and its progenitor cells, astrocytes, and microglial cells. Oligodendrocytes are central for myelin synthesis, the insulating envelope that protects axons and allows normal neural conduction. Both, oligodendrocytes and myelin, are highly vulnerable to toxic factors in many neurodevelopmental and neurodegenerative disorders associated with disturbances of myelination. Here we review the main alterations in oligodendrocytes and myelin observed in some organic acidurias/acidemias, which correspond to inherited neurometabolic disorders biochemically characterized by accumulation of potentially neurotoxic organic acids and their derivatives. The yet incompletely understood mechanisms underlying the high vulnerability of OLs and/or myelin in glutaric acidemia type I, the most prototypical cerebral organic aciduria, are particularly discussed.
Subject(s)
Amino Acid Metabolism, Inborn Errors , Brain Diseases, Metabolic , Glutaryl-CoA Dehydrogenase , Oligodendroglia , White Matter , Oligodendroglia/metabolism , Oligodendroglia/pathology , Amino Acid Metabolism, Inborn Errors/pathology , Amino Acid Metabolism, Inborn Errors/metabolism , Glutaryl-CoA Dehydrogenase/deficiency , Glutaryl-CoA Dehydrogenase/metabolism , Humans , Animals , White Matter/pathology , White Matter/metabolism , Brain Diseases, Metabolic/pathology , Brain Diseases, Metabolic/metabolism , Myelin Sheath/metabolism , Myelin Sheath/pathologyABSTRACT
PURPOSE: To characterize Vanishing White Matter Disease (VWM) cases from a Brazilian University Tertiary hospital, focusing on brain magnetic resonance image (MRI) aspects, clinical and molecular data. METHODS: Medical records and brain MRI of 13 genetically confirmed VWM patients were reviewed. Epidemiological data such as age at symptom onset, gender and main symptoms were analyzed, along with genetic mutations and MRI characteristics, such as the distribution of white matter lesions and atrophy. RESULTS: The majority of patients were female, with the age of symptom onset ranging from 1 year and 6 months to 40 years. All mutations were identified in the EIF2B5 gene, the most prevalent being c.338G > A (p.Arg113His), and a novel mutation related to the disease was discovered, c.1051G > A (p.Gly351Ser). Trauma or infection were significant triggers. The most frequent symptoms were ataxia and limb spasticity. All MRI scans displayed deep white matter involvement, cystic degeneration, with U-fibers relatively spared and a predilection for the frontoparietal region. Lesions in the corpus callosum and posterior fossa were present in all patients. Follow-up exams revealed the evolution of white matter lesions and cerebral atrophy, which correlated with clinical deterioration. CONCLUSIONS: VWM affects various age groups, with a significant clinical and genetic variability. A novel mutation associated with the disease is highlighted. MRI reveals a typical pattern of white matter involvement, characterized by diffuse lesions in the periventricular and deep regions, with subsequent extension to the subcortical areas, accompanied by cystic degeneration, and plays a crucial role in diagnosis and follow-up.
Subject(s)
Leukoencephalopathies , Magnetic Resonance Imaging , Humans , Female , Male , Brazil , Adult , Leukoencephalopathies/diagnostic imaging , Leukoencephalopathies/genetics , Child , Adolescent , Magnetic Resonance Imaging/methods , Infant , Child, Preschool , Mutation , Young Adult , Eukaryotic Initiation Factor-2B/geneticsABSTRACT
In recent years, there has been a growing interest in studying the Superficial White Matter (SWM). The SWM consists of short association fibers connecting near giry of the cortex, with a complex organization due to their close relationship with the cortical folding patterns. Therefore, their segmentation from dMRI tractography datasets requires dedicated methodologies to identify the main fiber bundle shape and deal with spurious fibers. This paper presents an enhanced short fiber bundle segmentation based on a SWM bundle atlas and the filtering of noisy fibers. The method was tuned and evaluated over HCP test-retest probabilistic tractography datasets (44 subjects). We propose four fiber bundle filters to remove spurious fibers. Furthermore, we include the identification of the main fiber fascicle to obtain well-defined fiber bundles. First, we identified four main bundle shapes in the SWM atlas, and performed a filter tuning in a subset of 28 subjects. The filter based on the Convex Hull provided the highest similarity between corresponding test-retest fiber bundles. Subsequently, we applied the best filter in the 16 remaining subjects for all atlas bundles, showing that filtered fiber bundles significantly improve test-retest reproducibility indices when removing between ten and twenty percent of the fibers. Additionally, we applied the bundle segmentation with and without filtering to the ABIDE-II database. The fiber bundle filtering allowed us to obtain a higher number of bundles with significant differences in fractional anisotropy, mean diffusivity, and radial diffusivity of Autism Spectrum Disorder patients relative to controls.
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Demyelination is typically followed by a remyelination process through mature oligodendrocytes (OLs) differentiated from precursor cells (OPCs) recruited into the lesioned areas, however, this event usually results in uncompleted myelination. Potentiation of the remyelination process is an important target for designing effective therapeutic strategies against white matter loss. Here, it was evaluated the remyelinating effect of different ß-carbolines that present differential allosteric modulation on the GABAA receptor expressed in OLs. For this, we used a focalized demyelination model in the inferior cerebellar peduncle (i.c.p.) of rats (DRICP model), in which, demyelination by ethidium bromide (0.05%) stereotaxic injection was confirmed histologically by staining with Black-Gold II (BGII) and toluidine blue. In addition, a longitudinal analysis with diffusion-weighted magnetic resonance imaging (dMRI) was made by computing fractional anisotropy (FA), apparent diffusion coefficient (ADC) and diffusivity parameters to infer i.c.p. microstructural changes. First, dMRI analysis revealed FA decreases together with ADC and radial diffusivity (RD) increases after demyelination, which correlates with histological BGII observations. Then, we evaluated the effect produced by three allosteric GABAA receptor modulators, the N-butyl-ß-carboline-3-carboxylate (ß-CCB), ethyl 9H-pyrido [3,4-b]indole-3-carboxylate (ß-CCE), and 4-ethyl-6,7-dimethoxy-9H-pyrido [3,4-b]indole-3-carboxylic acid methyl ester (DMCM). The results indicated that daily systemic ß-CCB (1 mg/Kg) or ß-CCE (1 mg/Kg) administration for 2 weeks, but not DMCM (0.35 mg/Kg), in lesioned animals increased FA and decreased ADC or RD, suggesting myelination improvement. This was supported by BGII staining analysis that showed a recovery of myelin content. Also, it was quantified by immunohistochemistry both NG2+ and CC1+ cellular population in the different experimental sceneries. Data indicated that either ß-CCB or ß-CCE, but not DMCM, produced an increase in the population of CC1+ cells in the lesioned area. Finally, it was also calculated the g-ratio of myelinated axons and observed a similar value in those lesioned animals treated with ß-CCB or ß-CCE compared to controls. Thus, using the DRICP model, it was observed that either ß-CCB or ß-CCE, positive modulators of the GABAA receptor in OLs, had a potent promyelinating effect.
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Accurately studying structural connectivity requires precise tract segmentation strategies. The U-Net network has been widely recognized for its exceptional capacity in image segmentation tasks and provides remarkable results in large tract segmentation when high-quality diffusion-weighted imaging (DWI) data are used. However, short tracts, which are associated with various neurological diseases, pose specific challenges, particularly when high-quality DWI data acquisition within clinical settings is concerned. Here, we aimed to evaluate the U-Net network ability to segment short tracts by using DWI data acquired in different experimental conditions. To this end, we conducted three types of training experiments involving 350 healthy subjects and 11 white matter tracts, including the anterior, posterior, and hippocampal commissure, fornix, and uncinated fasciculus. In the first experiment, the model was exclusively trained with high-quality data of the Human Connectome Project (HCP) dataset. The second experiment focused on images of healthy subjects acquired from a local hospital dataset, representing a typical clinical routine acquisition. In the third experiment, a hybrid training approach was employed, combining data of the HCP and local hospital datasets. Then, the best model was also tested in unseen DWIs of 10 epilepsy patients of the local hospital and 10 healthy subjects acquired on a scanner from another company. The outcomes of the third experiment demonstrated a notable enhancement in performance when contrasted with the preceding trials. Specifically, the short tracts within the local hospital dataset achieved Dice scores ranging between 0.60 and 0.65. Similar intervals were obtained with HCP data in the first experiment, and a substantial improvement compared to the scores between 0.37 and 0.50 obtained with the local hospital dataset at the same experiment. This improvement persisted when the method was applied to diverse scenarios, including different scanner acquisitions and epilepsy patients. These results indicate that combining datasets from different sources, coupled with resolution standardization strengthens the neural network ability to generalize predictions across a spectrum of datasets. Nevertheless, short tract segmentation performance is intricately linked to the training composition, to validation, and to testing data. Moreover, curved tracts have intricate structural nature, which adds complexities to their segmenting. Although the network training approach tested herein has provided promising results, caution must be taken when extrapolating its application to datasets acquired under distinct experimental conditions, even in the case of higher-quality data or analysis of long or short tracts.
Subject(s)
Connectome , Epilepsy , Image Processing, Computer-Assisted , White Matter , Humans , Male , Female , Image Processing, Computer-Assisted/methods , Adult , Epilepsy/diagnostic imaging , White Matter/diagnostic imaging , Diffusion Magnetic Resonance Imaging/methods , Brain/diagnostic imaging , Diffusion Tensor Imaging/methods , Magnetic Resonance Imaging/methods , AlgorithmsABSTRACT
OBJECTIVE: To evaluate whether white matter injury (WMI) volumes and spatial distribution, which are important predictors of neurodevelopmental outcomes in preterm infants, have changed over a period of 15 years. STUDY DESIGN: Five hundred and twenty-eight infants born <32 weeks' gestational age from 2 sequential prospective cohorts (cohort 1: 2006 through 2012; cohort 2: 2014 through 2019) underwent early-life (median 32.7 weeks postmenstrual age) and/or term-equivalent-age MRI (median 40.7 weeks postmenstrual age). WMI were manually segmented for quantification of volumes. There were 152 infants with WMI with 74 infants in cohort 1 and 78 in cohort 2. Multivariable linear regression models examined change in WMI volume across cohorts while adjusting for clinical confounders. Lesion maps assessed change in WMI location across cohorts. RESULTS: There was a decrease in WMI volume in cohort 2 compared with cohort 1 (ß = -0.6, 95% CI [-0.8, -0.3], P < .001) with a shift from more central to posterior location of WMI. There was a decrease in clinical illness severity of infants across cohorts. CONCLUSIONS: We found a decrease in WMI volume and shift to more posterior location in very preterm infants over a period of 15 years. This may potentially reflect more advanced maturation of white matter at the time of injury which may be related to changes in clinical practice over time.
Subject(s)
Infant, Premature , Magnetic Resonance Imaging , White Matter , Humans , Infant, Newborn , Female , Male , White Matter/diagnostic imaging , White Matter/pathology , White Matter/injuries , Prospective Studies , Gestational Age , Infant, Premature, Diseases , InfantABSTRACT
We present a Python library (Phybers) for analyzing brain tractography data. Tractography datasets contain streamlines (also called fibers) composed of 3D points representing the main white matter pathways. Several algorithms have been proposed to analyze this data, including clustering, segmentation, and visualization methods. The manipulation of tractography data is not straightforward due to the geometrical complexity of the streamlines, the file format, and the size of the datasets, which may contain millions of fibers. Hence, we collected and structured state-of-the-art methods for the analysis of tractography and packed them into a Python library, to integrate and share tools for tractography analysis. Due to the high computational requirements, the most demanding modules were implemented in C/C++. Available functions include brain Bundle Segmentation (FiberSeg), Hierarchical Fiber Clustering (HClust), Fast Fiber Clustering (FFClust), normalization to a reference coordinate system, fiber sampling, calculation of intersection between sets of brain fibers, tools for cluster filtering, calculation of measures from clusters, and fiber visualization. The library tools were structured into four principal modules: Segmentation, Clustering, Utils, and Visualization (Fibervis). Phybers is freely available on a GitHub repository under the GNU public license for non-commercial use and open-source development, which provides sample data and extensive documentation. In addition, the library can be easily installed on both Windows and Ubuntu operating systems through the pip library.
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BACKGROUND AND PURPOSE: Recent studies have suggested an association between dysfunction of the choroid plexus and the glymphatic system. However, information is inconclusive. Following a population-based study design, we aimed to assess the association between choroid plexus calcifications (CPCs)-as a surrogate of choroid plexus dysfunction-and severity and progression of putative markers of glymphatic dysfunction, including white matter hyperintensities (WMH) of presumed vascular origin and abnormally enlarged basal ganglia perivascular spaces (BG-PVS). METHODS: This study recruited community-dwellers aged ≥40 years living in neighboring Ecuadorian villages. Participants who had baseline head CTs and brain MRIs were included in cross-sectional analyses and those who additional had follow-up MRIs (after a mean of 6.4 ± 1.5 years) were included in longitudinal analyses. Logistic and Poisson regression models, adjusted for demographics and cardiovascular risk factors, were fitted to assess associations between CPCs and WMH and enlarged BG-PVS severity and progression. RESULTS: A total of 590 individuals were included in the cross-sectional component of the study, and 215 in the longitudinal component. At baseline, 25% of participants had moderate-to-severe WMH and 27% had abnormally enlarged BG-PVS. At follow-up, 36% and 20% of participants had WMH and enlarged BG-PVS progression, respectively. Logistic regression models showed no significant differences between CPCs volumes stratified in quartiles and severity of WMH and enlarged BG-PVS. Poisson regression models showed no association between the exposure and WMH and enlarged BG-PVS progression. Baseline age remained significant in these models. CONCLUSIONS: Choroid plexus calcifications are not associated with putative markers of glymphatic system dysfunction.
Subject(s)
Calcinosis , Choroid Plexus , Glymphatic System , Magnetic Resonance Imaging , Humans , Male , Female , Choroid Plexus/diagnostic imaging , Choroid Plexus/pathology , Middle Aged , Glymphatic System/diagnostic imaging , Cross-Sectional Studies , Magnetic Resonance Imaging/methods , Aged , Calcinosis/diagnostic imaging , Longitudinal Studies , Ecuador , White Matter/diagnostic imaging , White Matter/pathology , Adult , Tomography, X-Ray Computed , BiomarkersABSTRACT
Introduction: The arterial hypertension cause brain vascular damage (white matter lesion) and the burden and progression determine their cognitive consequences. Therefore, arterial hypertension is considered the main modifiable vascular risk factor for cognitive impairment and dementia. Therefore, the aim of the current study was to evaluate the results of cognitive tests in a sample of hypertensive patients and to establish possible associations with structural brain lesions (atrophy, white matter lesions) identified by magnetic resonance imaging Methods: Were included 70 hypertensive patients from Heart-Brain study in Argentina with magnetic resonance imaging and cognitive test. Fazekas scale and the Global Cortical Atrophy were used to quantify the white matter lesions and the brain atrophy, respectively. The Mini-Mental Status Examination, Clock Drawing test and Mini-Boston Naming test were used to evaluate the cognitive status. Results: average age 69.7 ± 10.6 years, 55.7% female). Based on the linear regression analysis, Fazekas scale and cognitive tests were inversely associated. For each grade of increase in Fazekas scale, the clock drawing test (Coef -0.56, CI 95% -1.01 -0.10, p=0.01) and the Mini-mental Status Examination (Coef -0.7, CI 95% -1.27 -0.13, p=0.01) scores decreased. The subcortical atrophy was significantly associated with the clock drawing test (OR 3.29, CI 95% 1.25-8.63; p=0.016). Conclusion: The cognitive tests, particularly the clock drawing test could be used (in the clinical routine practice) as "subrrogate" of the brain structural hypertension-mediated damage.
Introducción: La hipertensión arterial causa daño vascular cerebral (lesiones de sustancia blanca) y su carga y progresión determinan las consecuencias cognitivas. Así, la hipertensión es considerada el principal factor de riesgo vascular modificable para desarrollar deterioro cognitivo y demencia. Por lo tanto el objetivo de la presente investigación fue evaluar el resultado de los test cognitivos en una muestra de pacientes hipertensos y establecer las posibles asociaciones con las lesiones estructurales del cerebro (atrofia, lesiones de sustancia blanca) identificadas mediante resonancia magnética. Métodos: Se incluyeron 70 pacientes hipertensos pertenecientes al estudio Corazón-Cerebro en Argentina a los que se les realizó resonancia magnética y evaluación cognitiva. Se utilizaron las escalas de Fazekas y la Global Cortico Atrophy para evaluar las lesiones de sustancia blanca y la atrofia cerebral, respectivamente y el Mini-mental test, el test del reloj y el test de denominación Mini-Boston para conocer el estatus cognitivo. Resultados: Edad promedio 69.7 ± 10.6 años, 55.7% mujeres. Basados en el análisis de regresión lineal, la escala de Fazekas se asoció en forma inversa con los test cognitivos. Por cada punto de aumento en la escala de Fazekas el puntaje del test del reloj descendió -0.56 (IC 95% -1.01 -0.10, p=0.01) y el Mini-mental test -0.7 (IC95% -1.27 -0.13, p=0.01). La atrofia subcortical se asoció en forma inversa solo con el test del reloj (OR 3.29, IC 95% 1.25-8.63; p=0.016). Conclusión: Los test cognitivos, en especial el test del reloj, podrían ser utilizados, en la práctica clínica asistencial, como un subrogado del daño estructural del cerebro mediado por la hipertensión arterial.
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OBJECTIVE: To compare brain magnetic resonance imaging (MRI) biomarkers and neurodevelopmental test scores in infants born preterm with and without prenatal opioid exposure (POE). STUDY DESIGN: We examined 395 preterm infants (≤32 weeks gestational age) who had term-equivalent brain MRIs, composite scores from the Bayley Scales of Infant and Toddler Development-III at 2 years corrected age, and POE data. MRI parameters included total/regional brain volumes and severe punctate white matter lesions (PWMLs). We conducted bivariable analysis and multivariable logistic regression analyses. RESULTS: The mean ± SD gestational age was 29.3 ± 2.5 weeks; 35 (8.9%) had POE and 20 (5.1%) had severe PWML. Compared with unexposed infants, those with POE exhibited higher rates of severe PWML (17.1% vs 3.9%, respectively; P = .002); findings remained significant with an OR of 4.16 (95% CI, 1.26-13.68) after adjusting for confounders. On mediation analysis, the significant relationship between POE and severe PWML was not indirectly mediated through preterm birth/gestational age (OR, 0.93; 95% CI, 0.78-1.10), thus suggesting the association was largely driven by a direct adverse effect of POE on white matter. In multivariable analyses, POE was associated with a significantly lower score by -6.2 (95% CI, -11.8 to -0.6) points on the Bayley Scales of Infant and Toddler Development-III Motor subscale compared with unexposed infants. CONCLUSIONS: POE was associated with severe PWML; this outcome may be a direct effect of POE rather than being mediated by premature birth. POE was also associated with worse motor development. Continued follow-up to understand the long-term effects of POE is warranted.
Subject(s)
Premature Birth , White Matter , Infant , Pregnancy , Female , Infant, Newborn , Humans , Child, Preschool , Infant, Premature , Analgesics, Opioid/adverse effects , Brain/diagnostic imaging , Brain/pathology , White Matter/diagnostic imaging , Gestational AgeABSTRACT
OBJECTIVES: Evaluate the performance of a deep learning (DL)-based model for multiple sclerosis (MS) lesion segmentation and compare it to other DL and non-DL algorithms. METHODS: This ambispective, multicenter study assessed the performance of a DL-based model for MS lesion segmentation and compared it to alternative DL- and non-DL-based methods. Models were tested on internal (n = 20) and external (n = 18) datasets from Latin America, and on an external dataset from Europe (n = 49). We also examined robustness by rescanning six patients (n = 6) from our MS clinical cohort. Moreover, we studied inter-human annotator agreement and discussed our findings in light of these results. Performance and robustness were assessed using intraclass correlation coefficient (ICC), Dice coefficient (DC), and coefficient of variation (CV). RESULTS: Inter-human ICC ranged from 0.89 to 0.95, while spatial agreement among annotators showed a median DC of 0.63. Using expert manual segmentations as ground truth, our DL model achieved a median DC of 0.73 on the internal, 0.66 on the external, and 0.70 on the challenge datasets. The performance of our DL model exceeded that of the alternative algorithms on all datasets. In the robustness experiment, our DL model also achieved higher DC (ranging from 0.82 to 0.90) and lower CV (ranging from 0.7 to 7.9%) when compared to the alternative methods. CONCLUSION: Our DL-based model outperformed alternative methods for brain MS lesion segmentation. The model also proved to generalize well on unseen data and has a robust performance and low processing times both on real-world and challenge-based data. CLINICAL RELEVANCE STATEMENT: Our DL-based model demonstrated superior performance in accurately segmenting brain MS lesions compared to alternative methods, indicating its potential for clinical application with improved accuracy, robustness, and efficiency. KEY POINTS: ⢠Automated lesion load quantification in MS patients is valuable; however, more accurate methods are still necessary. ⢠A novel deep learning model outperformed alternative MS lesion segmentation methods on multisite datasets. ⢠Deep learning models are particularly suitable for MS lesion segmentation in clinical scenarios.
Subject(s)
Magnetic Resonance Imaging , Multiple Sclerosis , Humans , Magnetic Resonance Imaging/methods , Multiple Sclerosis/diagnostic imaging , Multiple Sclerosis/pathology , Neural Networks, Computer , Algorithms , Brain/diagnostic imaging , Brain/pathologyABSTRACT
BACKGROUND: Multiple sclerosis (MS) is an important cause of acquired neurological disability in young adults, characterized by multicentric inflammation, demyelination, and axonal damage. OBJECTIVE: The objective is to investigate white matter (WM) damage progression in a Brazilian MS patient cohort, using diffusion tensor imaging (DTI) post-processed by tract-based spatial statistics (TBSS). METHODS: DTI scans were acquired from 76 MS patients and 37 sex-and-age matched controls. Patients were divided into three groups based on disease duration. DTI was performed along 30 non-collinear directions by using a 1.5T imager. For TBSS analysis, the WM skeleton was created, and a 5000 permutation-based inference with a threshold of p < .05 was used, to enable the identification of abnormalities in fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). RESULTS: Decreased FA and increased RD, MD, and AD were seen in patients compared to controls and a decreased FA and increased MD and RD were seen, predominantly after the first 5 years of disease, when compared between groups. CONCLUSION: Progressive WM deterioration is seen over time with a more prominent pattern after 5 years of disease onset, providing evidence that the early years might be a window to optimize treatment and prevent disability.
Subject(s)
Multiple Sclerosis, Relapsing-Remitting , Multiple Sclerosis , White Matter , Young Adult , Humans , White Matter/diagnostic imaging , Multiple Sclerosis, Relapsing-Remitting/diagnostic imaging , Diffusion Tensor Imaging/methods , Brazil , Anisotropy , BrainABSTRACT
Abstract Background Migraine is associated with several genetic or acquired comorbidities. Studies conducted in recent years emphasize that the frequency of thrombophilia is high in migraine, especially migraine with aura (MA). Similarly, the presence of white matter lesions (WMLs) on brain magnetic resonance imaging (MRI) scans has been associated with migraine for many years. Objective Based on the knowledge that both WMLs and thrombophilia variants are frequently observed in MA, we aimed to investigate whether there is a relationship between genetic thrombophilia and the presence of WMLs in these patients. Methods The levels of proteins S and C, antithrombin III activities, activated protein C (APC) resistance, antiphospholipid immunoglobulin G/immunoglobulin M (IgG/IgM) and anticardiolipin IgG/IgM antibodies were investigated in 66 MA patients between the ages of 18 and 49 years who presented no cardiovascular risk factors. The presence of WMLs and the Fazekas grade was determined from the brain magnetic resonance imaging (MRI) scans' T2-weighted and fluid-attenuated inversion recovery (FLAIR) sequence taken from the patients. The rates of WMLs were compared in patients with and without thrombophilia. Results Thrombophilia was detected in 34.8% of the patients, and 27.3% were determined to have WMLs in brain MRI scans. The WMLs were detected in 23.3% of the patients without thrombophilia, in 34.8% of those with thrombophilia, and in 50% of the subjects with multiple thrombophilia disorders. Among the thrombophilia disorders, only APC resistance was significantly more common in patients with WMLs. Conclusion The results of the present study showed that thrombophilia may be a mechanism that should be investigated in the etiology of increased WMLs in MA.
Resumen Antecedentes La migraña se asocia con una serie de comorbilidades genéticas o adquiridas. Los estudios realizados en los últimos años destacan que la frecuencia de trombofilia es elevada en la migraña, especialmente en la migraña con aura (MA). De manera similar, la presencia de lesiones de la sustancia blanca (LSB) en las imágenes por resonancia magnética (RM) del cerebro se ha asociado con la migraña hace muchos años. Objetivo Con base en la información de que se suelen observar tanto LSB como variantes de la trombofilia en MA, nuestro objetivo fue investigar si existe una relación entre la trombofilia genética y la presencia de LSB en estos pacientes. Métodos Se investigaron los niveles de proteína S y de proteína C, actividades de antitrombina III, resistencia a la proteína C activada (PCA), anticuerpos antifosfolípidos inmunoglobulina G/inmunoglobulina M (IgG/IgM) y anticuerpos anticardiolipina IgG/IgM en 66 pacientes con MA entre 18 y 49 años que no presentaban factores de riesgo cardiovascular. Se determinaron la presencia de LSB y el grado de Fazekas a partir de imágenes por RM del cerebro en la secuencia ponderada en T2 y recuperación de la inversión atenuada de fluido (fluid-attenuated inversion recovery, FLAIR, en inglés) obtenidas de los pacientes. Se compararon las tasas de LSB en pacientes con y sin trombofilia. Resultados Se detectó trombofilia en el 34,8% de los pacientes y LSB en el 27,3%. Las LSB estuvieron presentes en el 23,3% de los pacientes sin trombofilia, en el 34,8% de los que tenían trombofilia, y en el 50% de los que tenían múltiples trastornos trombofílicos. La resistencia a la PCA fue significativamente más común en aquellos pacientes con LSB. Conclusión Los resultados del presente estudio mostraron que la trombofilia puede ser un mecanismo que debe investigarse en la etiología del aumento de LSB en MA.
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Introduction: Frailty is a geriatric syndrome frequently associated with executive dysfunction and white matter hyperintensities (WMH). But the relation between executive dysfunction and brain changes is poorly understood in frail subjects. Our hypothesis is that frontal-WMH mediates the association between frailty and executive dysfunction. Methods: A convenience sample of 113 subjects older than 65 years without dementia was studied with neuropsychological test, a structured clinical interview, physical examination and brain MRI. They were classified as robust or pre-frail and frail using the frailty phenotype score (0-5). The frontal WMH (F-WMH) were manually graduated (0-6) using the "Age-Related White Matter Changes score" from FLAIR sequences at a 3 Tesla brain MRI. A mediation analysis was done for testing whether F-WMH could act as a link factor between frailty phenotype score and executive dysfunction. Results: The group's mean age was 74 ± 6 years, subjects with higher frailty score had more depressive symptoms and worse performance in executive function tests. A regression analysis that explained 52% of the variability in executive functions, revealed a significant direct effect of frailty score (Standardized ßcoeff [95% CI] -0.201, [-0.319, -0.049], and F-WMH (-0.152[-0.269, -0.009]) on executive functions, while the F-WMH showed a small partial mediation effect between frailty and executive functions (-0.0395, [-0.09, -0.004]). Discussion: Frontal matter hyperintensities had a small mediation effect on the association between frailty and executive dysfunction, suggesting that other neuropathological and neurofunctional changes might also be associated with executive dysfunction in frail subjects.
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Background: Diffusion tensor imaging (DTI) tractography facilitates maximal safe resection and optimizes planning to avoid injury during subcortical dissection along descending motor pathways (DMPs). We provide an affordable, safe, and timely algorithm for preoperative DTI motor reconstruction for gliomas adjacent to DMPs. Methods: Preoperative DTI reconstructions were extracted from a prospectively acquired registry of glioma resections adjacent to DMPs. The surgeries were performed over a 7-year period. Demographic, clinical, and radiographic data were extracted from patients' electronic medical records. Results: Nineteen patients (12 male) underwent preoperative tractography between January 1, 2013, and May 31, 2020. The average age was 44.5 years (range, 19-81 years). A complete radiological resection was achieved in nine patients, a subtotal resection in five, a partial resection in three, and a biopsy in two. Histopathological diagnoses included 10 patients with high-grade glioma and nine with low-grade glioma. A total of 16 perirolandic locations (10 frontal and six frontoparietal) were recorded, as well as two in the insula and one in the basal ganglia. In 9 patients (47.3%), the lesion was in the dominant hemisphere. The median preoperative and postoperative Karnofsky Performance Scores were 78 and 80, respectively. Motor function was unchanged or improved over time in 15 cases (78.9%). Conclusion: This protocol of DTI reconstruction for glioma removal near the DMP shows good results in low-term neurological functional outcomes.
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BACKGROUND: Information on the association between the systemic immune-inflammation index (SII) and white matter hyperintensities (WMH) of presumed vascular origin is confined to cross-sectional studies. We sought to evaluate the impact of SII on WMH progression in community-dwelling older adults. METHODS: Following a longitudinal prospective study design, participants of a population-based cohort received baseline blood tests to calculate the SII (platelets x neutrophils / lymphocytes x 109 L) together with clinical interviews and brain MRIs. Participants with follow-up brain MRI were included in the analysis. Poisson regression models adjusted for demographics and cardiovascular risk factors were fitted to assess the incidence rate ratio of WMH progression by levels of the SII. RESULTS: Across 246 study participants (mean age: 65.5 ± 5.9 years; 55% women), the mean SII was 434.7 ± 193.8 × 109 L, and WMH progression was found in 101 (41%) individuals after a mean of 7.3 ± 1.5 years. A multivariate Poisson regression model showed increased WMH progression rate among individuals in the fourth quartile of the SII compared with those in the first quartile (IRR: 1.87; 95% C.I.: 1.02-3.41). CONCLUSIONS: Study results provided novel evidence of an independent association between the SII and WMH progression. The SII may be able to identify individuals at high risk of WMH progression.
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Independent Living , White Matter , Humans , Female , Aged , Middle Aged , Male , Prospective Studies , White Matter/diagnostic imaging , Ecuador/epidemiology , Cross-Sectional Studies , Magnetic Resonance Imaging/methods , Inflammation/diagnostic imagingABSTRACT
INTRODUCTION: Bipolar disorder (BD) has been associated with a decrease in white matter integrity. Diffusion tensor imaging (DTI) studies have enabled these changes to be elucidated with higher quality. Due to BD's high heritability, some studies have been conducted in relatives of BD patients looking at white matter integrity, and have found that structural connectivity may also be affected. This alteration has been proposed as a potential BD biomarker of vulnerability. However, there are few studies in children and adolescents. OBJECTIVE: To conduct a review of the literature on changes in white matter integrity determined by DTI in high-risk children and adolescents. RESULTS: Brain structural connectivity in the paediatric population is described in studies using DTI. Changes in the myelination process from its evolution within normal neurodevelopment to the findings in fractional anisotropy (FA) in BD patients and their high-risk relatives are also described. CONCLUSIONS: Studies show that both BD patients and their at-risk relatives present a decrease in FA in specific brain regions. Studies in children and adolescents with a high risk of BD, indicate a reduced FA in axonal tracts involved in emotional and cognitive functions. Decreased FA can be considered as a vulnerability biomarker for BD.